We’ll certainly be revisiting these same projects next time we test, or will try to replace them with other projects that behave a bit better with the GPU mode. Some projects might be quickly starved for memory on lower-end GPUsĬhances are that the render settings could have been changed to fix this problem, but we only have so much time in the day to sink into problem-solving. We highly recommend checking out the full shot on a desktop monitor, as detail differences could be difficult to see properly on a phone (here’s the lossless PNG). The screenshot below will highlight what this particular render looked like after three seconds. While using only the GPU will take a minute or two to resolve to a reasonable point, denoising, especially with Tensor cores available, can happen in just a couple of seconds. GPU Rendering ConsiderationsĪs mentioned earlier, KeyShot 9 includes a denoiser that can take advantage of artificial intelligence to quickly resolve a scene for really quick feedback after a scene or camera has changed.
Applied to an normal-sized object, it would not take as long to render. But of course, that’s with the material close-up at a big resolution. The blue cloth we rendered in the previous UI screenshot took about ten minutes on an RTX 2070 SUPER to resolve to the point where we couldn’t spot noise anymore. There’s a ton of detail in these generated materials, so the CPU and GPU will be put to great use to resolve all noise out of the final render.
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